About the Webcast
Traditional forecasting models were built for human-only environments. In an AI-driven world, demand signals, capacity drivers, and performance outcomes are changing. This session explores how forecasting must evolve when humans and AI systems share the workload—and how leaders can maintain accuracy, agility, and trust in their forecasts.
Attendees will walk away with:
- An updated view of forecasting inputs in AI-enabled operations
- Practical guidance on incorporating AI productivity and automation into demand and capacity models
- Common forecasting pitfalls when AI is introduced too quickly
- A readiness checklist to evaluate whether current forecasting processes can support AI growth.
